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A Method for Checking Genomic Integrity in Cultured Cell Lines from SNP Genotyping Data

Genomic screening for chromosomal abnormalities is an important part of quality control when establishing and maintaining stem cell lines. We present a new method for sensitive detection of copy number alterations, aneuploidy, and contamination in cell lines using genome-wide SNP genotyping data. In...

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Detalles Bibliográficos
Autores principales: Danecek, Petr, McCarthy, Shane A., Durbin, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4866717/
https://www.ncbi.nlm.nih.gov/pubmed/27176002
http://dx.doi.org/10.1371/journal.pone.0155014
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author Danecek, Petr
McCarthy, Shane A.
Durbin, Richard
author_facet Danecek, Petr
McCarthy, Shane A.
Durbin, Richard
author_sort Danecek, Petr
collection PubMed
description Genomic screening for chromosomal abnormalities is an important part of quality control when establishing and maintaining stem cell lines. We present a new method for sensitive detection of copy number alterations, aneuploidy, and contamination in cell lines using genome-wide SNP genotyping data. In contrast to other methods designed for identifying copy number variations in a single sample or in a sample composed of a mixture of normal and tumor cells, this new method is tailored for determining differences between cell lines and the starting material from which they were derived, which allows us to distinguish between normal and novel copy number variation. We implemented the method in the freely available BCFtools package and present results based on induced pluripotent stem cell lines obtained in the HipSci project.
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spelling pubmed-48667172016-05-18 A Method for Checking Genomic Integrity in Cultured Cell Lines from SNP Genotyping Data Danecek, Petr McCarthy, Shane A. Durbin, Richard PLoS One Research Article Genomic screening for chromosomal abnormalities is an important part of quality control when establishing and maintaining stem cell lines. We present a new method for sensitive detection of copy number alterations, aneuploidy, and contamination in cell lines using genome-wide SNP genotyping data. In contrast to other methods designed for identifying copy number variations in a single sample or in a sample composed of a mixture of normal and tumor cells, this new method is tailored for determining differences between cell lines and the starting material from which they were derived, which allows us to distinguish between normal and novel copy number variation. We implemented the method in the freely available BCFtools package and present results based on induced pluripotent stem cell lines obtained in the HipSci project. Public Library of Science 2016-05-13 /pmc/articles/PMC4866717/ /pubmed/27176002 http://dx.doi.org/10.1371/journal.pone.0155014 Text en © 2016 Danecek et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Danecek, Petr
McCarthy, Shane A.
Durbin, Richard
A Method for Checking Genomic Integrity in Cultured Cell Lines from SNP Genotyping Data
title A Method for Checking Genomic Integrity in Cultured Cell Lines from SNP Genotyping Data
title_full A Method for Checking Genomic Integrity in Cultured Cell Lines from SNP Genotyping Data
title_fullStr A Method for Checking Genomic Integrity in Cultured Cell Lines from SNP Genotyping Data
title_full_unstemmed A Method for Checking Genomic Integrity in Cultured Cell Lines from SNP Genotyping Data
title_short A Method for Checking Genomic Integrity in Cultured Cell Lines from SNP Genotyping Data
title_sort method for checking genomic integrity in cultured cell lines from snp genotyping data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4866717/
https://www.ncbi.nlm.nih.gov/pubmed/27176002
http://dx.doi.org/10.1371/journal.pone.0155014
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